基于高校体制改革的教师绩效考核体系研究

近几年国家在岗位聘任、绩效工资、岗位管理等方面进行的体制改革,迫切需要相应的高校教师绩效考核体系与之匹配.然而当前高校教师绩效考核体系中存在的缺陷,严重阻碍了新体制改革优势的充分发挥.针对目前存在的问题,根据新的改革要求,应在科学把握考核体系重点的基础上,通过教师岗位分析、完善考核机制等措施,健全教师绩效考核体系,促进高校体制改革顺利实施.     

万古长空,一轮明月——对张若虚《春江花月夜》的多维赏析

张若虚《春江花月夜》以其独到的艺术构思,优美的意境,清雅的语言,和谐的韵律,深妙的哲理,登上了初唐诗歌艺术的顶峰。作为一篇几近完美之作,它如一轮明月照彻亘古的诗河。     

家庭教育投资的成本收益关系分析

家庭教育投资取决于家庭对该项投资的利润预期和机会成本预期;家庭教育投资积极、学习勤奋则边际成本递减、边际收益递增;反之,则边际成本递增、边际收益递减.社会资源的稀缺性及先行者的相对独占性、马太效应等是形成这一规律的客观原因.     

论我国风景园林规划设计与公众参与

通过介绍公众参与的形成及中国风景园林规划设计存在的主要问题,旨在中国建立的“公众参与意识”及“公众参与”的法制化,设计应由政府、设计者和公众共同来完成,从而使设计更加完美;同时提出促进公众参与的途径和参与的有效方法。     

试论公共财政与政府会计的关系

公共财政和政府会计因公共受托责任而联系起来。公共财政的职能本质上是政府要承担的公共责任,而政府会计就是对公共受托责任完成过程及其结果的认定、计量和报告。完善的政府会计理论与实务、健全的公共财政职能都是良好的公共治理的关键因素。政府会计系统为公共财政管理提供的基础技术,政府会计提供的信息也为公共财政管理目标的实现服务。在我国,建立与社会主义市场经济体制相适应的公共财政体制必然要求改革现有政府会计体系,这是公共财政职能不断发展变化从而公共受托责任发展变化的要求,是建立良好的公共治理结构的要求,是完善公共财政管理的要求。     

论Schwarzschild黑洞的熵

利用二维球面简并气体模型，证实了Ｓｃｈｗａｒｚｓｃｈｉｌｄ黑洞的熵就是其视界物质的熵．     

GIS系统在高校房屋管理中的应用

由于GIS可以通过测量、遥感等手段将获得的数据进行录入分析,并显示地理空间信息,使其在各个领域内都得到广泛应用。在结合GIS领域在管理领域发展趋势的基础上,提出了关于GIS的高校房屋管理系统的分层结构以及主要功能,并补充了其对高校内学生宿舍以及教师公寓系统的管理内容,从而建立了基于GIS的高校房屋管理的基本模型。同时,这种直观的管理模式、简洁的查询登记方式将大大减轻管理人员的工作量、提高工作人员的工作效率,使得研究工作的开展能为GIS房屋管理系统的应用提供参考。     

Estimation of group means in generalized linear mixed models

In this study, we investigate the concept of the mean response for a treatment group mean as well as its estimation and prediction for generalized linear models with a subject‐wise random effect. Generalized linear models are commonly used to analyze categorical data. The model‐based mean for a treatment group usually estimates the response at the mean covariate. However, the mean response for the treatment group for studied population is at least equally important in the context of clinical trials. New methods were proposed to estimate such a mean response in generalized linear models; however, this has only been done when there are no random effects in the model. We suggest that, in a generalized linear mixed model (GLMM), there are at least two possible definitions of a treatment group mean response that can serve as estimation/prediction targets. The estimation of these treatment group means is important for healthcare professionals to be able to understand the absolute benefit vs risk. For both of these treatment group means, we propose a new set of methods that suggests how to estimate/predict both of them in a GLMMs with a univariate subject‐wise random effect. Our methods also suggest an easy way of constructing corresponding confidence and prediction intervals for both possible treatment group means. Simulations show that proposed confidence and prediction intervals provide correct empirical coverage probability under most circumstances. Proposed methods have also been applied to analyze hypoglycemia data from diabetes clinical trials.     

保护性医疗及其行使对策

保护性医疗作为我国临床实践中长期存在的医疗措施，近年来开始受到较多质疑。在医学模式转型背景下，保护性医疗面临与患者知情同意权、新医患关系模式及自身实效性问题等的矛盾与困境。为更合理地适用保护性医疗，应将患者适用保护性医疗必要性评估作为前置条件，并根据病程变化做出调整。     

A generalized model of logistic regression for clustered data

This paper proposes a generalized logistic regression model that can account for the correlation among responses on subunits. The subunits may arise as data on multiple observations within an individual. This method generalizes earlier work by Rosner (1984 a,b) and others. Methodological generalizations include: (1) the use of the more general Polya-Eggenberger distribution instead of the beta-binomial distribution to model the correlation structure, so that cases with negative, positive, or zero intraclass correlation can be handled; (2) a stepwise approach; (3) linear and non-linear regression; and, (4) the inclusion of the case of a truncated distribution. The model can accommodate missing data and covariates on the unit and subunit level. The derivative-free simplex algorithm is used to estimate the parameters.

The model is applied to data describing the progression of obstruction in coronary disease where multiple arterial segments are studied for each patient. The correlation in response that may exist for these multiple segments is accounted for in the analyses while attempting to examine associations with individual-specific (e.g., history of diabetes) and segment-specific (e.g., initial percent stenosis) covariates. Analyses were performed on a data set describing 382 patients with unoperated coronary artery disease and two coronary angiograms separated by at least one month and on a data set describing 284 patients undergoing percutaneous transluminal coronary angioplasty and studied by coronary angiograms.